Grady Leo, Funka-Lea Gareth
Department of Imaging and Visualization, Siemens Corporate Research, Princeton, NJ, USA.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):888-95. doi: 10.1007/11866763_109.
Fully automatic, completely reliable segmentation in medical images is an unrealistic expectation with today's technology. However, many automatic segmentation algorithms may achieve a near-correct solution, incorrect only in a small region. For these situations, an interactive editing tool is required, ideally in 3D, that is usually left to a manual correction. We formulate the editing task as an energy minimization problem that may be solved with a modified version of either graph cuts or the random walker 3D segmentation algorithms. Both algorithms employ a seeded user interface, that may be used in this scenario for a user to seed erroneous voxels as belonging to the foreground or the background. In our formulation, it is unnecessary for the user to specify both foreground and background seeds.
利用当今的技术，期望在医学图像中实现完全自动、完全可靠的分割是不现实的。然而，许多自动分割算法可能会得到一个近乎正确的解决方案，只是在小区域内存在错误。对于这些情况，需要一个交互式编辑工具，理想情况下是三维的，通常留给人工进行校正。我们将编辑任务表述为一个能量最小化问题，可以使用图割或随机游走三维分割算法的修改版本来解决。这两种算法都采用带种子的用户界面，在这种情况下可用于让用户将错误的体素标记为属于前景或背景。在我们的表述中，用户无需同时指定前景种子和背景种子。
